Regularising Non-linear Models Using Feature Side-information. - Amina Mollaysa; Pablo Strasser; Alexandros Kalousis (ICML, 2017)

Learning to Augment with Feature Side-information. - Amina Mollaysa; Alexandros Kalousis; Eric Bruno; Maurits Diephuis (ACML, 2019)

Goal-directed Generation of Discrete Structures with Conditional Generative Models. - Amina Mollaysa; Brooks Paige; Alexandros Kalousis (NeurIPS, 2020)

SimTS: Rethinking Contrastive Representation Learning for Time Series Forecasting. - Xiaochen Zheng; Xingyu Chen; Manuel Schürch; Amina Mollaysa; Ahmed Allam; Michael Krauthammer (CoRR, 2023)

Generating Personalized Insulin Treatments Strategies with Deep Conditional Generative Time Series Models. - Manuel Schürch; Xiang Li; Ahmed Allam; Giulia Rathmes; Amina Mollaysa; Claudia Cavelti-Weder; Michael Krauthammer (CoRR, 2023)

Attention-based Multi-task Learning for Base Editor Outcome Prediction. - Amina Mollaysa; Ahmed Allam; Michael Krauthammer (CoRR, 2023)

Dynamic Local Attention with Hierarchical Patching for Irregular Clinical Time Series. - Xingyu Chen; Xiaochen Zheng; Amina Mollaysa; Manuel Schürch; Ahmed Allam; Michael Krauthammer (CoRR, 2023)

DDoS: A Graph neural Network Based Drug Synergy Prediction Algorithm. - Kyriakos Schwarz; Alicia Pliego-Mendieta; Amina Mollaysa; Lara Planas-Paz; Chantal Pauli; Ahmed Allam; Michael Krauthammer (CHIL, 2024)

Simple Contrastive Representation Learning for Time Series Forecasting. - Xiaochen Zheng; Xingyu Chen; Manuel Schürch; Amina Mollaysa; Ahmed Allam; Michael Krauthammer (ICASSP, 2024)

Rethinking Molecular Design: Integrating Latent Variable and Auto-Regressive Models for Goal Directed Generation. - Heath Arthur-Loui; Amina Mollaysa; Michael Krauthammer (CoRR, 2024)

BioLangFusion: Multimodal Fusion of DNA, mRNA, and Protein Language Models. - Amina Mollaysa; Artem Moskalev; Pushpak Pati; Tommaso Mansi; Mangal Prakash; Rui Liao (CoRR, 2025)

TRIDENT: Tri-Modal Molecular Representation Learning with Taxonomic Annotations and Local Correspondence. - Feng Jiang; Mangal Prakash; Hehuan Ma; Jianyuan Deng; Yuzhi Guo; Amina Mollaysa; Tommaso Mansi; Rui Liao; Junzhou Huang (CoRR, 2025)